Yi-Coder

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Yi-Coder is a series of open-source code language models that delivers state-of-the-art coding performance with fewer than 10 billion parameters.0
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What is Yi-Coder?

Yi-Coder is a series of innovative, open-source large language models (LLMs) designed for coding excellence. With two size options, the 1.5B and 9B parameter models, Yi-Coder is built for efficient processing and adaptable training. The 9B model stands out by leveraging an additional 2.4T high-quality tokens, enhancing its coding prowess. This 'small but mighty' AI achieves performance that rivals significantly larger models, making it a game-changer in the field of AI-assisted coding.

Key Features:

  1. Vast Token Training:Continuously pretrained on a massive 2.4 trillion tokens across 52 programming languages to ensure comprehensive coding knowledge.

  2. Long-Context Modeling:A capacity to understand and generate code within a 128K token context window, enabling project-level code comprehension.

  3. Superior Performance:Outperforms other models with fewer than 10 billion parameters and matches the abilities of larger models in various coding tasks.

  4. Versatile Coding Proficiency:Demonstrates excellence in competitive programming, code editing, completion, long-context understanding, and mathematical reasoning.

  5. Open-Source Access:Available for the community to use, adapt, and integrate into various software development projects.

Use Cases:

  1. Software Development:Yi-Coder aids developers in generating and refining code, improving productivity and reducing time to market.

  2. Education:Instructors use Yi-Coder to create interactive coding assignments and provide students with real-time feedback on their code.

  3. AI-Powered IDEs:Integrated into IDEs, Yi-Coder offers advanced code completion and debugging assistance, enhancing the coding experience.

Conclusion:

Yi-Coder is poised to revolutionize the way we approach software development with its compact size and powerful performance. It opens up possibilities for more efficient coding practices and sets a new standard for AI coding companions. Experience the future of coding with Yi-Coder and unlock the potential for seamless software innovation.

Call to Action:

Discover the power of Yi-Coder today and elevate your coding capabilities to new heights. Visit our website or join our Discord to get started and be part of the AI-driven coding revolution.

FAQs:

  1. What makes Yi-Coder unique compared to other coding AI models?Yi-Coder stands out for its compact size and outstanding performance, rivaling larger models in coding tasks while offering efficient inference and flexible training options.

  2. How can developers integrate Yi-Coder into their projects?Developers can easily integrate Yi-Coder using popular frameworks like Transformers, Ollama, and vLLM. Detailed instructions are available in the Yi-Coder README on GitHub.

  3. Can Yi-Coder be used for educational purposes in coding classes?Absolutely. Yi-Coder is an excellent tool for education, providing real-time code feedback and support which can greatly enhance the learning experience in coding classes.


More information on Yi-Coder

Launched
Pricing Model
Free
Starting Price
Global Rank
Follow
Month Visit
<5k
Tech used
Yi-Coder was manually vetted by our editorial team and was first featured on September 4th 2025.
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Yi-Coder Alternatives

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  1. OpenCoder is an open-source code LLM with high performance. Supports English & Chinese. Offers full reproducible pipeline. Ideal for devs, educators & researchers.

  2. StarCoder and StarCoderBase are Large Language Models for Code (Code LLMs) trained on permissively licensed data from GitHub, including from 80+ programming languages, Git commits, GitHub issues, and Jupyter notebooks.

  3. Discover Code Llama, a cutting-edge AI tool for code generation and understanding. Boost productivity, streamline workflows, and empower developers.

  4. Yi Visual Language (Yi-VL) model is the open-source, multimodal version of the Yi Large Language Model (LLM) series, enabling content comprehension, recognition, and multi-round conversations about images.

  5. DeciCoder 1B is a 1 billion parameter decoder-only code completion model trained on the Python, Java, and Javascript subsets of Starcoder Training Dataset.